Cognitive law outthinks data overload | IBM

It used to take up to 23 days to conduct routine legal research. Now, working with Watson, ROSS Intelligence is using cognitive technology to read legislation, court decisions and secondary sources to find answers in seconds, that help lawyers move quickly from the routine to the essential.

Few law firms of any size can survive in their present form unless they make affordable, quality representation a top priority. Now that ROSS Intelligence has tapped into Watson’s cognitive abilities, firms have the ability to do just that. Along the way, they just might just transform the entire industry.

Source: ROSS and Watson tackle the law – IBM Watson

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Why Innovators Should Study the Rise and Fall of the Venetian Empire

Entrepreneurs and innovators resist “success as usual” syndrome, exploring emerging technologies and new business models. They try to keep the big picture in mind and are wary of being too efficient and too optimized. This perspective helps them promote unconventional ways of thinking, solving problems, and challenging the status quo. They know the goal is not to chase a fixed horizon but to understand when and how the horizon moves as they approach it.

Source: Why Innovators Should Study the Rise and Fall of the Venetian Empire

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How to ‘Productize’ Your Service Business Offerings

If you own or lead a professional services company, you understand the unique challenges you face in not offering a tangible product. Even if your business is thriving, you still only have so much time to exchange for money. Try as you might to maximize price or delivery and allow yourself a comfortable margin, you will still reach a natural ceiling.

This was the day things shifted from: “I know this and therefore others will pay me to do that for them,” to “I want to learn everything about marketing. Quantify and organize it, and then bring it to market in a highly repeatable manner.”

Source: How to ‘Productize’ Your Service Business Offerings

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Outcome based pricing Exploring an ‘everything as a service’ model

Pricing based on customer outcomes has the potential to turn the buyer/seller relationship into more of a partnership, because both sides are working toward common objectives. The seller is motivated to drive efficiency and positive outcomes – because the more successful the customer is, the more revenue it generates.

Source: Outcome based pricing Exploring an ‘everything as a service’ model | pwc

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Transformation with a capital T | McKinsey & Company

… imagine… You run a retail bank with a solid strategy, a strong brand, a well-positioned branch network, and a loyal customer base. But a growing and fast-moving ecosystem of fintech players—microloan sites, peer-to-peer lenders, algorithm-based financial advisers—is starting to nibble at your franchise. The board feels anxious about what no longer seems to be a marginal threat. It worries that management has grown complacent.

Source: Transformation with a capital T | McKinsey & Company

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Are You The Point Of Inflection?

Barry McCarthy, Netflix’s former chief financial officer, said in an interview with the Unofficial Stanford blog in 2008, “I remembered getting on a plane, I think sometime in 2000, with Reed [Hastings] and [Netflix co-founder] Marc Randolph and flying down to Dallas, Texas and meeting with John Antioco. Reed had the chutzpah to propose to them that we run their brand online and that they run [our] brand in the stores and they just about laughed us out of their office. At least initially, they thought we were a very small niche business. Gradually over time, as we grew our market, his thinking evolved but initially they ignored us and that was much to our advantage.” …

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Disrupting Industries With Cognitive Computing

With cognitive computing, we are now able to unlock the value in ALL the data — from internal, external and even publicly available sources — available to a business. Much of this data was previously inaccessible as it existed in was unstructured (documents, emails, social media posts and images etc.), or was dispersed among any many systems and silos. Hear how two companies are already using cognitive computing to disrupt their industries:

Source: Disrupting Industries With Cognitive Computing

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Is the Life Expectancy of Companies Really Shrinking? – Only Dead Fish

It’s difficult to navigate through all the myriad factors to identify what might really be behind this picture, but perhaps the real story is less about the impending death of large businesses and more about their need to adapt – to move through business and product life cycles more quickly than before, to be more focused on systematic experimentation and organising swiftly around opportunity.

Source: Is the Life Expectancy of Companies Really Shrinking? – Only Dead Fish

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Low-End Disruption in Consumer Markets | Tech-Thoughts by Sameer Singh

In the 1960s, General Motors held a ~50% share of the US automobile market and 80% of the industry’s profits. General Motors’ integrated value chain allowed it to dominate the industry in an era where products were still not “good enough” (with respect to performance and reliability). But as automobile performance improved, modular, “low-end” disruptors like Toyota attacked it from below and profits evaporated. Toyota did not succeed by immediately attacking the premium segment of the market. It started with the low-end Corona and “then moved up-market by introducing sequentially its Tercel, Corolla, Camry, Avalon and 4-Runner models, and ultimately its Lexus”. Honda and Nissan followed similar approaches to disrupt integrated incumbents like General Motors, Ford and Chrysler. Now, these disruptors are in turn facing low-end disruption from the likes of Kia and Hyundai.

Source: Low-End Disruption in Consumer Markets | Tech-Thoughts by Sameer Singh

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